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Updated: Jul 14, 2026

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NPB-REC:一种非参数贝叶斯深度学习方法,用于低样本MRI重建,以不确定性估计

Samah Khawaled1, Moti Freiman2

  • 1The Interdisciplinary program in Applied Mathematics, Faculty of Mathematics, Technion - Israel Institute of Technology, Israel.

Artificial intelligence in medicine
|March 10, 2024
PubMed
概括

一个新的贝叶斯框架NPB-REC增强了从低样本数据的MRI重建. 它提高了图像质量,量化了不确定性,为更安全的深度学习临床应用铺平了道路.

关键词:
这就是为什么MRI是MRI.重建重建的重建工作不确定性 不确定性

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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...